Bei Jiang, PhD
Fall Term 2024 (1890)
STAT 566 - Methods of Statistical Inference
3 units (fi 6)(EITHER, 3-0-0)
An introduction to the theory of statistical inference. Topics to include exponential families and general linear models, likelihood, sufficiency, ancillarity, interval and point estimation, asymptotic approximations. Optional topics as time allows, may include Bayesian methods, Robustness, resampling techniques. This course is intended primarily for MSc students. Prerequisite: STAT 471 or consent of Department.
LECTURE A1 (51092)
2024-09-03 - 2024-12-09
MWF 11:00 - 11:50
STAT 578 - Regression Analysis
3 units (fi 6)(EITHER, 3-0-0)
Multiple linear regression, ordinary and generalized least squares, partial and multiple correlation. Regression diagnostics, collinearity, model building. Nonlinear regression. Selected topics: robust and nonparametric regression, measurement error models. Prerequisites: STAT 378 and a 400-level statistics course.
LECTURE C1 (54805)
2024-09-03 - 2024-12-09
MWF 14:00 - 14:50